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<table width="100%" summary="page for Oysters"><tr><td>Oysters</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2>Size of Oysters</h2>

<h3>Description</h3>

<p>Comparing methods for measuring the size of oysters
</p>


<h3>Format</h3>

<p>A data frame with 30 observations on the following 5 variables.
</p>

<dl>
<dt><code>ID</code></dt><dd><p>ID number of each oyster</p>
</dd>
<dt><code>Weight</code></dt><dd><p>Weight (in grams)</p>
</dd>
<dt><code>Volume</code></dt><dd><p>Volume (in cubic centimeters)</p>
</dd>
<dt><code>ThreeD</code></dt><dd><p>Measurement from a 3D system (pixels)</p>
</dd>
<dt><code>TwoD</code></dt><dd><p>Measurement from a 2D cross-section (pixels)</p>
</dd>
</dl>



<h3>Details</h3>

<p>In 2001 engineers at an R&amp;D lab Agri-Tech, Inc, in Woodstock, Virginia, designed a 3-D system that they hoped would improve on the existing 2-D system for measuring the size of oysters. The 3-D system used computer scanning to estimate an oyster volume, whereas the old 2-D system estimated a cross-sectional area. Data shows the result of both systems, as well as the actual weight and volume of each oyster used in calibration.
</p>


<h3>Source</h3>

<p>Data found at JSE data archive: http://ww2.amstat.org/publications/jse/jse_data_archive.htm with the filenames of 30oysters.  Contributors are G. Andy Chang, G. Jay Kerns, D. J. Lee, and Gary L. Stanek.
</p>
<p>Original article is:  Lee, D., Lane, R., and Chang, G., (2001) &quot;Three-dimension Reconstruction for High-speed Volume Measurement,&quot; Proceedings of the International Society for Optical Engineering, Machine
Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, Volume 4189,
p.258-267.
</p>


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